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Data Science R Jobs in Los Angeles, CA (NOW HIRING)

YO AI Labs

Data Scientist

Glendale, CA

Must Have: Python Machine Learning, data science, AWS, Statistical Modeling, Semantic Search ... Advanced skills in Python and/or R-including development of statistical analysis packages, and use ...

San R&D Business Solutions LLC

Data Scientist

Glendale, CA · On-site

$140 - $190/hr

Bachelor's degree in Statistics, Economics, Computer Science, Engineering, Mathematics, Physics, or ... Advanced skills in Python and/or R -- including development of statistical analysis packages and ...

New

Excelhire

Data Analyst

Los Angeles, CA

$32/hr

... Science, or related field * 1-3 years of experience in data analysis (preferred) * Strong knowledge of Excel, SQL, and data visualization tools (Tableau/Power BI) * Basic knowledge of Python or R ...

Snap, Inc.

Data Scientist, Level 4

Los Angeles, CA

The Data Science and Insights team seeks to leverage our massive data sets into actionable insights ... such as Python or R * 3+ years of experience with applied statistical techniques, such as ...

Snapchat

Data Scientist, Level 4

Los Angeles, CA · On-site

The Data Science and Insights team seeks to leverage our massive data sets into actionable insights ... such as Python or R * 3+ years of experience with applied statistical techniques, such as ...

Snapchat

Senior Data Scientist, Level 5

Los Angeles, CA · On-site

... science experience Preferred Qualifications: * 5+ years of experience using SQL or similar big data querying languages * 5+ years of experience with programming language, such as Python or R * 5+ ...

Snapchat

Data Scientist, Level 4

Los Angeles, CA

The Data Science and Insights team seeks to leverage our massive data sets into actionable insights ... such as Python or R * 3+ years of experience with applied statistical techniques, such as ...

Snapchat

Senior Data Scientist, Level 5

Los Angeles, CA · On-site

... science experience Preferred Qualifications: * 5+ years of experience using SQL or similar big data querying languages * 5+ years of experience with programming language, such as Python or R * 5+ ...

Ra

Data Scientist

Los Angeles, CA · On-site

You are powerful in data science, business reporting, and statistical analysis. * You are proficient in Business Intelligence and Reporting. * You are an expertise with R, SAS, SPSS. * You have ...

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All JobsData Science R JobsData Science R Jobs in Los Angeles, CA

Data Science R information

See Los Angeles, CA salary details

$40.4K

$132.3K

$211.7K

How much do data science r jobs pay per year?

As of Aug 7, 2026, the average yearly pay for data science r in Los Angeles, CA is $132,252.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,100.00 and $146,500.00 per year, depending on experience, location, and employer.

What is a Data Science R?

A Data Science R job involves using the R programming language for data analysis, statistical modeling, and machine learning. Professionals in this role work with large datasets, clean and preprocess data, apply predictive modeling techniques, and visualize insights. They often use libraries like ggplot2, dplyr, and caret to manipulate data and build models. This role is common in industries such as finance, healthcare, and marketing, where data-driven decision-making is essential. Strong statistical knowledge, programming skills, and domain expertise are key to success in this position.

What does a Data Science R do?

In most organizations, Data Science R professionals spend their days gathering and cleaning data, performing exploratory data analysis with R, building and evaluating predictive models, and generating data visualizations to communicate results. They often meet with cross-functional teams to understand business needs, translate them into data projects, and present key findings. Additionally, they may write reproducible R scripts, maintain data pipelines, and document their methodologies. Collaboration, experimentation, and clear communication are integral parts of the role, enabling solutions that directly impact business outcomes.

What are the key skills and qualifications needed to thrive in the Data Science R position, and why are they important?

To thrive as a Data Science R professional, you need solid expertise in statistics, machine learning, and programming in R, often supported by a degree in data science, statistics, or a related field. Experience with R-based data analysis libraries, visualization tools like ggplot2, and familiarity with databases or cloud platforms is typically expected; certifications in data science or R programming can be advantageous. Strong problem-solving abilities, attention to detail, and effective communication with stakeholders help distinguish top performers in this role. These skills are essential for delivering actionable insights from complex datasets and driving data-informed decision-making within organizations.

What are the most commonly searched types of Data Science R jobs in Los Angeles, CA? The most popular types of Data Science R jobs in Los Angeles, CA are:
What are popular job titles related to Data Science R jobs in Los Angeles, CA? For Data Science R jobs in Los Angeles, CA, the most frequently searched job titles are:
What job categories do people searching Data Science R jobs in Los Angeles, CA look for? The top searched job categories for Data Science R jobs in Los Angeles, CA are:
Data Science R jobs near you
Infographic showing various Data Science R job openings in Los Angeles, CA as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $132,252 per year, or $63.6 per hour.

Sr. Manager, Data Science and Advanced Analytic Solutions

Samyang America, Inc.

Brea, CA • On-site

Full-time

Re-posted yesterday

Job description

Job Summary:
Samyang America, Inc. is the #1 Gen Z brand, focused on shaping the future of food culture with innovative flavors. The Senior Manager, Data Science & Advanced Analytics Solutions will lead the development of analytics and AI-driven decision tools to transform data into actionable insights, supporting strategy and commercial execution across the enterprise.
Responsibilities:
• Develop and deploy automated dashboards and reporting systems across key business functions:
• Sales & revenue performance
• Marketing effectiveness & ROI
• Financial performance
• Innovation pipeline tracking
• Executive scorecards
• Standardize KPIs and ensure consistency in how performance is measured across the organization.
• Build models for:
• Demand forecasting
• Pricing & elasticity
• Consumer segmentation
• Marketing mix optimization
• Innovation success prediction
• Translate complex data into clear, decision-ready insights .
• Lead development of AI and machine learning applications to enhance decision-making.
• Identify and prioritize high-impact AI use cases across functions.
• Implement scalable solutions that move the organization from descriptive to predictive and prescriptive analytics .
• Work closely with Strategy, Marketing, R&D, Finance, and Sales leaders to identify key business questions and translate them into analytics solutions.
• Ensure analytics outputs are embedded into real business processes and decisions .
• Treat dashboards, models, and tools as products , ensuring usability, adoption, and continuous improvement.
• Drive a culture of test-and-learn, experimentation, and data-driven decision-making .
Qualifications:
Required:
• 8+ years of experience in analytics, data science, business intelligence, or related fields.
• Strong experience developing analytics solutions that influence business decisions.
• Proficiency in tools such as Python, R, SQL, and BI platforms (Power BI, Tableau, etc.).
• Experience with data modeling, forecasting, and statistical analysis.
• Ability to translate business problems into analytical frameworks.
Preferred:
• Experience applying machine learning or AI in commercial or operational settings.
• Experience in consumer goods, retail, or marketing analytics.
• Familiarity with experimentation frameworks (A/B testing, causal inference).
• Exposure to modern data platforms (Snowflake, Databricks, etc.).
Company:
Samyang America Inc. Founded in , the company is headquartered in Brea, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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